Data preparation for neural network data analysis

Abstract

Studies related to the use of neural networks require certain data preparation. Data preparation is an important step in modeling the neural network. The procedure for the preparation of the data affects many important parameters. It reduces the modeling errors, speeds up the process of training the neural network and leads to simplification of the system as a whole. In the literature, some studies on the preparation of data are presented, but the information is highly scattered and the complete, systematic overview of this procedure is poorly brought into limelight. Neural network studies should have a clear understanding of what the data neural network works with and how to coordinate it with the neural network for correct and efficient analysis.